Your AI speaks every language and reasons at lightning speed. It has zero knowledge of your business logic, your processes, your definitions, or your rules. Without that context, every answer is a confident guess.
of enterprise AI pilots fail to deliver measurable business impact
(MIT, 2025)
reduction in AI hallucination with ontology grounding (National Library of Medicine, 2026)
more responses rated correct, complete, and usable as-is
(Microsoft, 2026)
Without context, AI guesses. With context, it knowS!
Your AI
LLMs · Agents · Copilots · Process Automations
Business Context Layer: What Makes AI Work
Ontologies · Processes · Glossaries · Business Rules · Standards · Governance
Blaze builds a governed ontology from your business knowledge and industry standards, then publishes it to Microsoft Fabric IQ so your AI reasons on your business, not statistical inference.
AI Agents
Microsoft Fabric
Modern Data Platform
Microsoft Purview
Data & AI Governance
Built from your business knowledge and industry standards
Data Agents & Ontologies that reason, query, and act on your business
Data models bound to your data and ready for ontologies
Stewardship, lineage, and compliance from day one
Open Standards
Open W3C and OMG formats you own, with no proprietary lock-in
Blaze builds the ontology from material you already have: process documents, glossaries, business rules, data schemas, and domain expertise. Industry standards libraries provide the foundation so you start from your vertical, not a blank page.
Your Terms, Not Table Names
Your business terminology drives the ontology, not your table names. Standards appear as alignments, never as the class name.
Business Context Capture
Blaze ingests process documents, glossaries, data dictionaries, business rules, and regulatory frameworks directly.
Industry Standards Libraries
Pre-loaded with FIBO, GS1, HL7 FHIR, IEC CIM, APQC, ACORD, SNOMED CT, ISA-95, and more. 18+ industries supported with vertical ontology libraries.
Domain Expert Elicitation
AI-assisted structured interviews capture the tribal knowledge that lives in people's heads and turn it into governed ontology classes, not just documentation.
An ontology is a formal account of what exists in your business and what is necessarily true about it, stated precisely enough that AI can reason over it. Blaze builds that ontology so agents answer correctly instead of guessing.
Ontology-Grounded AI
AI reason over your business definitions, relationships, and rules instead of inferring meaning from table names.
Data Agent
Write and execute queries against any connected system, grounded in the ontology, in your platform's native dialect.
Accurate Answers
2.2x more correct responses and 37x fewer hallucinations when agents are grounded in an ontology.
MCP Server
Exposes your ontology, schemas, and governance to Copilot, Claude, and any MCP-aware agent. No bespoke integration.
A normalized, relational-aware schema representation that powers AI-assisted development. One model generates schemas, pipelines, and migrations for any SQL-aware system. It unifies fragmented, siloed enterprise data under one consistent model, so agents stop guessing across inconsistent systems and definitions don't drift between them.
Data Modeling Agent
Generates tables, views, procedures, and functions from business definitions in your target system's native dialect.
Data Pipelines Agent
Produces bronze-to-gold transformation pipelines from the model. Versioned alongside the schemas they move data between.
Data Binding Agent
Connects ontology entities to physical tables, columns, and relationships. The bridge between what the business means and where the data lives.
Database Migrations
Migrate SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, or Amazon RDS to Fabric and Azure with wave-based cutover.
Governance is the cross-cutting layer across ontologies, data models, and agents. Every artifact carries full provenance: who created it, what it was derived from, and when it changed. Publishes to OneLake, Microsoft Purview, Collibra, and other governance platforms. Built in from day one, not bolted on.
Governed Ontologies
Every entity, property, and relationship has a named steward. Definitions are versioned, changes require approval, and no term mutates silently across the enterprise.
Governed Data Models
Retention policies, sensitivity classifications, and regulatory scope flow from the ontology to every table and column. One change cascades everywhere.
Governed Agents
Agents reason only on governed context. Every answer traces back to an authoritative definition. No ungoverned inference, no unexplainable output.
End-to-End Lineage
Trace every entity from source system through the ontology to the agent that consumed it. Not just technical lineage, but semantic lineage that shows how meaning flows.
BUILT ON OPEN STANDARDS
Industry-specific ontology libraries, pre-loaded for every vertical we serve and built on open W3C and OMG standards your tools already speak. Import and export at any time. No proprietary formats, no platform lock-in.
Financial Services
FIBO
Insurance
FIBO · ACORD
Healthcare
HL7 FHIR · SNOMED CT
Life Sciences
HL7 FHIR · Clinical trial standards
Retail
GS1 · UNSPSC · APQC PCF
Consumer Goods
GS1 · APQC PCF
Manufacturing
APQC PCF · ISA-95
Energy & Utilities
IEC CIM · OSDU · ISO 15926 · NERC CIP
Automotive
AUTO ontology · APQC PCF
Telecommunications
APQC PCF · TM Forum SID
FOUNDATIONS · ACROSS EVERY INDUSTRY
W3C Semantic Web
OWL 2 · RDF · Turtle · SKOS · SHACL · PROV-O · SPARQL · R2RML · SWRL · DCMI
OMG Process & Rules
BPMN 2.0 · DMN 1.3
OGC Geospatial
GeoSPARQL
Cross-Industry
APQC PCF (19 frameworks) · W3C ORG · AUTO
